Since its launch in November 2022, ChatGPT has rapidly become one of the most intriguing technological advancements of our time. In the second session of our “Learning ChatGPT” workshop series, we are set to undertake a deep technical dive into ChatGPT. This session will encompass an in-depth discussion on the transformer architecture, explore fine-tuning techniques, examine the developments of ChatGPT-like Large Language Models (LLMs), and present scientific application examples utilizing LLMs.
This in-person workshop is specifically tailored for an audience keen on understanding the technical intricacies of ChatGPT. It offers a unique opportunity to delve into the subject matter from a broader and more profound perspective. Participants with a basic understanding of machine learning or deep learning will be better positioned to appreciate the nuances and depths of the topics discussed.

Any questions about this workshop can be emailed to Qiyang Hu (huqy@oarc.ucla.edu).

Register via Google